LiveCodeBench

🏆 Leaderboard

As of August 31, 2026, DeepSeek-V4-Pro-Max is #1 for LiveCodeBench at 93.5%. Ranked by LiveCodeBench: contest programming on problems released after training. LiveCodeBench leaderboard for contamination-resistant coding scores, plus API pricing. Rank LLMs on fresh programming problems.

Updated August 31, 2026345 models36 providers

LiveCodeBench vs price

137 models. Left is cheaper. Up is a higher score. The line is the best score you can buy at each price — a dot under it is a worse deal than something on the line.

Best score at each price#1 on this board


DeepSeek-V4-Pro-MaxOSS DeepSeek · Open Source	93.5%	—	—	—	$5.22
DeepSeek-V4-Flash-MaxOSS DeepSeek · Open Source	91.6%	—	—	—	$0.42
Claude Fable 5 Anthropic · Proprietary	89.8%	—	—	—	$60.00
Claude Opus 5 Anthropic · Proprietary	89.0%	—	—	—	$30.00
Gemini 3.7 Flash Google · Proprietary	88.7%	—	—	—	$4.50
Gemini 3.1 Pro Google · Proprietary	88.5%	—	—	—	$17.50
DeepSeek-V4-Flash-0423OSS DeepSeek · Open Source	88.4%	—	—	—	$0.30
Grok 4.6 xAI · Proprietary	88.2%	—	—	—	$8.00
Gemini 3.6 Flash Google · Proprietary	88.1%	—	—	—	$4.50
GPT-5.2 Codex OpenAI · Proprietary	88.0%	—	—	—	$15.75
Qwen3.8 MaxOSS Qwen · Open Source	87.8%	—	—	—	$8.00
Claude Opus 4.8 Anthropic · Proprietary	87.8%	—	—	—	$30.00
Solar Pro 4 Upstage · Proprietary	87.8%	—	—	—	$1.50
Gemini 3.5 Flash Google · Proprietary	87.6%	—	—	—	$10.50
DeepSeek-V4-Pro-0813OSS DeepSeek · Open Source	87.5%	—	—	—	$5.28
Grok 4.5 xAI · Proprietary	87.3%	—	—	—	$8.00
GPT-5.3 Codex OpenAI · Proprietary	87.3%	—	—	—	$15.75
DeepSeek-V4-Flash-0731OSS DeepSeek · Open Source	87.3%	—	—	—	$1.76
Kimi K3OSS Moonshot AI · Open Source	87.2%	—	—	—	$18.00
Qwen3.7 Max Qwen · Proprietary	87.1%	—	91.6%	—	$5.00
Kimi K2.6OSS Moonshot AI · Open Source	86.8%	—	89.6%	—	$4.93
GPT-5 mini OpenAI · Proprietary	86.6%	—	—	—	$2.25
GPT-5.1 OpenAI · Proprietary	86.5%	—	—	—	$11.25
Gemini 3 Pro Google · Proprietary	86.4%	—	—	—	$14.00
Nemotron 3 Ultra (550B A55B)OSS NVIDIA · Open Source · via OpenRouter	86.0%	—	89%	—	$2.70
Qwen3.6 Plus Qwen · Proprietary	86.0%	—	87.1%	—	$3.50
Inkling-SmallOSS Thinking Machines · Open Source · via Thinking Machines Lab	85.9%	—	—	—	$1.50
GPT-5.6 Terra OpenAI · Proprietary	85.9%	—	—	—	$14.00
Muse Spark 1.1 Meta · Proprietary	85.9%	—	—	—	$5.50
GPT-5 OpenAI · Proprietary	85.9%	93.4%	—	88%	$11.25
Gemini 3 Flash Google · Proprietary	85.6%	—	—	—	$3.50
GPT-5.1 Codex OpenAI · Proprietary	85.5%	—	—	—	$11.25
GPT-5.2 OpenAI · Proprietary	85.4%	—	—	—	$15.75
GPT-5.5 OpenAI · Proprietary	85.3%	—	—	—	$35.00
Claude Opus 4.7 Anthropic · Proprietary	85.1%	—	—	—	$30.00
GPT-5 Codex OpenAI · Proprietary	84.7%	—	—	—	$11.25
Grok 4.3 xAI · Proprietary	84.5%	—	—	—	$3.75
GPT-5.4 OpenAI · Proprietary	84.1%	—	—	—	$17.50
GPT-5.4 nano OpenAI · Proprietary	84.0%	—	—	—	$1.45
o3 OpenAI · Proprietary	83.9%	—	—	81.3%	$10.00
DeepSeek-V3.2OSS DeepSeek · Open Source · via OpenRouter	83.3%	—	—	—	$0.57
GPT OSS 120BOSS OpenAI · Open Source	83.2%	—	—	—	$0.54
MiniMax M2OSS MiniMax · Open Source	83%	—	—	—	$1.50
LongCat-Flash-Thinking-2601OSS Meituan · Open Source	82.8%	—	—	—	$1.50
GPT-5.6 Sol OpenAI · Proprietary	82.6%	—	—	—	$35.00
Claude Sonnet 5 Anthropic · Proprietary	82.4%	—	—	—	$12.00
GLM-4.7OSS Z AI · Open Source	82.2%	84.9%	84.9%	—	$2.80
o4-mini OpenAI · Proprietary	82.2%	—	—	68.9%	$5.50
MiniMax M3OSS MiniMax · Open Source	82.2%	—	—	—	$1.50
Claude Sonnet 4.6 Anthropic · Proprietary	82.1%	—	—	—	$18.00

Showing 1–50 of 345 models

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The index

All Large Language Models

345 models across 36 providers. Search or jump to a lab — every model page stays linked here.

Cursor

2 models

Composer 2 Composer 2 Fast

xAI

17 models

Grok 4.6 Grok 4.5 Grok 4.3 Grok-4.1 Grok-4.1 Fast Non-Reasoning Grok-4.1 Fast Reasoning Grok-4.1 Thinking Grok 4 Fast Grok Code Fast 1 Grok-4 Fast Non-Reasoning Grok-4 Fast Reasoning Grok-4 Grok-3 Grok-3 Mini Grok-2 Grok-1.5V Grok-1.5

MiniMax

7 models

MiniMax M3 MiniMax M2.7 MiniMax M2.5 MiniMax M2.1 MiniMax M2 MiniMax M1 40K MiniMax M1 80K

Qwen

55 models

Qwen3.8 Flash Qwen3.8-Flash-Next Qwen3.8-27B Qwen3.8-2.4T-A95B Qwen3.8 Max Qwen3.7 Flash Qwen3.7-Plus Qwen3.7 Max Qwen3.6-27B Qwen3.6-35B-A3B Qwen3.6 Plus Qwen3.5-0.8B Qwen3.5-2B Qwen3.5-4B Qwen3.5-9B Qwen3.5-122B-A10B Qwen3.5-27B Qwen3.5-35B-A3B Qwen3.5-397B-A17B Qwen3 Max Qwen3 VL 235B A22B Instruct Qwen3 VL 235B A22B Thinking Qwen3 VL 30B A3B Instruct Qwen3 VL 30B A3B Thinking Qwen3 VL 32B Instruct Qwen3 VL 32B Thinking Qwen3 VL 4B Instruct Qwen3 VL 4B Thinking Qwen3 VL 8B Instruct Qwen3 VL 8B Thinking Qwen3-Next-80B-A3B-Instruct Qwen3-Next-80B-A3B-Thinking Qwen3-235B-A22B-Thinking-2507 Qwen3-235B-A22B-Instruct-2507 Qwen3 235B A22B Qwen3 30B A3B Qwen3 32B Qwen2.5-Omni-7B QwQ-32B Qwen2.5 VL 32B Instruct Qwen3-Coder 480B A35B Instruct Qwen2.5 VL 72B Instruct Qwen2.5 VL 7B Instruct Qwen3-Coder QvQ-72B-Preview QwQ-32B-Preview Qwen2.5 14B Instruct Qwen2.5 32B Instruct Qwen2.5 72B Instruct Qwen2.5 7B Instruct Qwen2.5-Coder 32B Instruct Qwen2.5-Coder 7B Instruct Qwen2-VL-72B-Instruct Qwen2 72B Instruct Qwen2 7B Instruct

AI21 Labs

2 models

Jamba 1.5 Large Jamba 1.5 Mini

Amazon

7 models

Nova 2 Lite Nova 2 Omni Nova 2 Pro Nova 2 Sonic Nova Lite Nova Micro Nova Pro

Baidu

2 models

ERNIE 5.0 ERNIE 4.5

ByteDance

4 models

Seed 2.1 Pro Seed 2.1 Turbo Seed 2.0 Lite Seed 2.0 Pro

Cohere

4 models

North Micro Vision Instruct North Mini Code 1.0 Command A+Command R+

IBM

2 models

IBM Granite 4.0 Tiny Preview Granite 3.3 8B Instruct

Inception

1 models

Mercury 2

inclusionAI

1 models

Ling-3.0-flash

LG AI Research

1 models

K-EXAONE-236B-A23B

Liquid AI

2 models

LFM2.5-VL-3B LFM2.5-2.6B

Meituan

4 models

LongCat-Flash-Lite LongCat-Flash-Thinking-2601 LongCat-Flash-Thinking LongCat-Flash-Chat

Microsoft

9 models

MAI-Code-1.1-Flash MAI-Code-1-Flash MAI-Thinking-1 Phi 4 Mini Phi-4-multimodal-instruct Phi 4 Phi-3.5-mini-instruct Phi-3.5-MoE-instruct Phi-3.5-vision-instruct

Moonshot AI

11 models

Kimi K3 Kimi K2.7 Code Kimi K2.7 Code HighSpeed Kimi K2.6 Kimi K2.5 Kimi K2 0905 Kimi K2-Instruct-0905 Kimi K2-Thinking-0905 Kimi K2 Base Kimi K2 Instruct Kimi-k1.5

Nous Research

1 models

Hermes 3 70B

NVIDIA

9 models

Nemotron 3.5 Lightning (30B A3B)Nemotron 3 Ultra (550B A55B)Nemotron 3 Super (120B A12B)Nemotron 3 Nano (30B A3B)Nemotron Nano 9B v2 Llama 3.1 Nemotron Ultra 253B v1 Llama 3.1 Nemotron Nano 8B V1 Llama-3.3 Nemotron Super 49B v1 Llama 3.1 Nemotron 70B Instruct

OpenBMB

1 models

MiniCPM-SALA

Poolside

2 models

Laguna S 2.1 Laguna XS 2.1

Sakana AI

1 models

Sakana Namazu

Sarvam AI

2 models

Sarvam-105B Sarvam-30B

StepFun

2 models

Step-3.5-Flash Step3-VL-10B

Tencent

1 models

Hy3

Thinking Machines

1 models

Inkling-Small

Unisound

1 models

Upstage

1 models

Solar Pro 4

Xiaomi

5 models

MiMo-V2.5-Pro MiMo-V2.5 MiMo-V2-Omni MiMo-V2-Pro MiMo-V2-Flash

Which model leads LiveCodeBench right now?

As of August 31, 2026, DeepSeek-V4-Pro-Max by DeepSeek is #1 for LiveCodeBench at 93.5%. Ranked by LiveCodeBench: contest programming on problems released after training. This board also tracks LiveCodeBench, HumanEval, LiveCodeBench v6, Alder Polyglot. Next on the same board: DeepSeek-V4-Flash-Max and Claude Fable 5. Related leaders: MiniCPM-SALA on HumanEval at 95.1%; Qwen3.8 Flash on LiveCodeBench v6 at 91.9%. This livecodebench leaderboard ranks models by LiveCodeBench. Scores come from public evals. Prices are the live API rates in the table above.

Sources: LiveCodeBench (https://livecodebench.github.io/); OpenAI API pricing (https://developers.openai.com/api/docs/pricing); Anthropic Claude API pricing (https://platform.claude.com/docs/en/about-claude/pricing); Gemini API pricing (https://ai.google.dev/gemini-api/docs/pricing)

Top 8 for livecodebench. Ranked by LiveCodeBench: contest programming on problems released after training. Input and output are dollars per million tokens.
Rank	Model	LiveCodeBench	Input /M	Output /M
1	DeepSeek-V4-Pro-Max	93.5%	$1.74	$3.48
2	DeepSeek-V4-Flash-Max	91.6%	$0.14	$0.28
3	Claude Fable 5	89.8%	$10.00	$50.00
4	Claude Opus 5	89.0%	$5.00	$25.00
5	Gemini 3.7 Flash	88.7%	$0.75	$3.75
6	Gemini 3.1 Pro	88.5%	$2.50	$15.00
7	DeepSeek-V4-Flash-0423	88.4%	$0.10	$0.20
8	Grok 4.6	88.2%	$2.00	$6.00

Related LLM leaderboards

LLM Leaderboard Coding Math Agentic Reasoning Writing Science Finance Long Context Vision Open Source

Individual benchmark pages

Rank one eval at a time. All LLM benchmarks.

HLE SWE Bench Humanity's Last Exam (No Tools)Humanity's Last Exam (With Tools)Terminal-Bench 2.0 Terminal-Bench Terminal-Bench 2.1 Terminal-Bench 2 Terminal-Bench 3.0 ARC-AGI-1 Verified

LiveCodeBench FAQ

Who ranks #1 on the LiveCodeBench leaderboard?

As of August 31, 2026, DeepSeek-V4-Pro-Max by DeepSeek ranks #1 on LiveCodeBench at 93.5%. API pricing is $1.74/M input and $3.48/M output.

What are the top models on LiveCodeBench?

The current LiveCodeBench ranking as of August 31, 2026 is 1. DeepSeek-V4-Pro-Max at 93.5%; 2. DeepSeek-V4-Flash-Max at 91.6%; 3. Claude Fable 5 at 89.8%.

Which livecodebench model is the cheapest?

Gemma 3n E2B Instructed is the cheapest scored model on this livecodebench leaderboard at $0.02/M input and $0.04/M output ($0.06 blended). DeepSeek-V4-Pro-Max still leads LiveCodeBench at 93.5%.

Should I always pick the #1 LiveCodeBench model?

Not automatically. DeepSeek-V4-Pro-Max leads LiveCodeBench, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh LiveCodeBench against input/output price, context window, and related evals.

How often is the LiveCodeBench leaderboard updated?

Scores and API prices on this page are refreshed from published evals and provider rates. The snapshot is labeled August 31, 2026. Treat it as a current index, not a one-off blog post.

What is LiveCodeBench?

LiveCodeBench scores models on new competitive-programming problems released after training cutoffs, which reduces memorization compared with HumanEval.

How is LiveCodeBench different from SWE-bench?

LiveCodeBench is contest-style code. SWE-bench is multi-file GitHub repair. Use LiveCodeBench for algorithms, SWE-bench for product engineering.

Why show HumanEval next to LiveCodeBench?

HumanEval is older and more saturated, but still widely cited. Seeing both columns makes it obvious when a model only looks strong on the easy set.

LiveCodeBench vs price

You found the model. Now ship the product.

All Large Language Models

OpenAI

Anthropic

Google

Cursor

xAI

DeepSeek

MiniMax

Qwen

AI21 Labs

Amazon

Baidu

ByteDance

Cohere

IBM

Inception

inclusionAI

LG AI Research

Liquid AI

Meituan

Meta

Microsoft

Mistral

Moonshot AI

Nous Research

NVIDIA

OpenBMB

Poolside

Sakana AI

Sarvam AI

StepFun

Tencent

Thinking Machines

Unisound

Upstage

Xiaomi

Z AI

Which model leads LiveCodeBench right now?

Related LLM leaderboards

Individual benchmark pages

LiveCodeBench FAQ

Who ranks #1 on the LiveCodeBench leaderboard?

What are the top models on LiveCodeBench?

Which livecodebench model is the cheapest?

Should I always pick the #1 LiveCodeBench model?

How often is the LiveCodeBench leaderboard updated?

What is LiveCodeBench?

How is LiveCodeBench different from SWE-bench?

Why show HumanEval next to LiveCodeBench?